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On The Impact of Machine Learning Randomness on Group Fairness
7 references·0 citing·25 second hop
On The Impact of Machine Learning Randomness on Group Fairness (2023)On The Impact of Machine Learning Randomn…Model Multiplicity: Opportunities, Concerns, and Solutions (2022)Model Multiplicity: Opportuni…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Fairness in representation: quantifying stereotyping as a representational harm (2019)Fairness in representation: q…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness through awareness (2012)Fairness through awarenessIncorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Equality of Opportunity in Supervised Learning (2016)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Review on Fairness in Machine Learning (2022)Trustworthy AI: From Principles to Practices (2022)Subjective probability: A judgment of representativeness (1972)On the psychology of prediction. (1973)Judgment under Uncertainty: Heuristics and Biases (1975)OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings (2021)Measuring Representational Harms in Image Captioning (2022)A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use (2024)Semantics derived automatically from language corpora contain human-like biases (2017)Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science (2018)Bias and Fairness in Large Language Models: A Survey (2024)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool (2023)Operationalizing the Search for Less Discriminatory Alternatives in Fair Lending (2024)Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation. (2024)The ethics of algorithms: Mapping the debate (2016)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints829 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2022Model Multiplicity: Opportunities, Concerns, and Solutions82 cited
  • 2019Fairness in representation: quantifying stereotyping as a representational harm44 cited

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